no code implementations • 28 Mar 2024 • Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam
Recent progress in diffusion models has profoundly enhanced the fidelity of image generation.
no code implementations • 21 Mar 2024 • Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam
Portrait stylization is a challenging task involving the transformation of an input portrait image into a specific style while preserving its inherent characteristics.
no code implementations • 13 Sep 2023 • Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain.
1 code implementation • 30 Aug 2021 • Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
It significantly outperforms traditional and deep neural network-based methods in detecting and localizing tampered regions.
Ranked #3 on Image Manipulation Detection on Casia V1+
no code implementations • 19 Jul 2021 • Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices.
no code implementations • 25 Mar 2021 • Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
The proposed network uses a stack of consecutive frames as the input and effectively learns interpolation artifacts using network blocks to learn spatiotemporal features.
no code implementations • 14 Aug 2020 • Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn
Multi-bit watermarking (MW) has been developed to improve robustness against signal processing operations and geometric distortions.
no code implementations • 5 Jul 2020 • Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content.
1 code implementation • 30 Jun 2020 • In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.